期刊
ATMOSPHERIC ENVIRONMENT
卷 123, 期 -, 页码 171-179出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.atmosenv.2015.10.081
关键词
Nitrogen deposition; Carbon storage; Nitrogen use efficiency; C-N interactions; Chinese forests; CEVSA2 model
资金
- National Nature Science Fund [41271118, 31370463, 31070398]
- CAS Strategic Priority Research Program [XDA05050209, XDA05050601-01-30]
- State Key Basic Research Development and Planning Project [2010CB833503]
- State Scholarship Fund of the China Scholarship Council [201303250032]
Human activities have resulted in dramatically increased nitrogen (N) deposition worldwide, which is closely linked to the carbon (C)-cycle processes and is considered to facilitate terrestrial C sinks. In this study, we firstly estimated the spatial and temporal variations of N deposition during 1981-2010 based on a new algorithm; then we used a newly improved process-based ecosystem model, CEVSA2, to examine the effects of N deposition on C storage in Chinese forests. The results show that the rate of N deposition increased by 0.058 g N m(-2) yr(-1) between 1981 and 2010. The N deposition rate in 2010 was 2.32 g N m(-2) yr(-1), representing a large spatial variation from 0 to 0.25 g N m(-2) yr(-1) on the northwestern Qinghai-Tibet Plateau to over 4.5 g N m(-2) yr(-1) in the southeastern China. The model simulations suggest that N deposition induced a 4.78% increase in the total C storage in Chinese forests, most of which accumulated in vegetation. C storage increased together with the increase in N deposition, in both space and time. However, N use efficiency was highest when N deposition was 0.4-1.0 g N m(-2) yr(-1). We suggest conducting more manipulation experiments and observations in different vegetation types, which will be greatly helpful to incorporate additional processes and mechanisms into the ecosystem modeling. Further development of ecosystem models and identification of C-N interactions will be important for determining the effects of N input on C cycles on both regional and global scales. (C) 2015 Elsevier Ltd. All rights reserved.
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